![]() ![]() ![]() Existing evolutionary theories are incomplete and unable to explain multiple evolutionary issues. Our study provides fundamental insights into the design and functioning of synthetic and biological submicrometer motors in active baths under measurement and feedback control.Įvolution is fundamental to natural sciences and social sciences. Unlike the passive information engine operating in a thermal bath, the active information engine extracts colossal power that peaks at the finite cycle period. This effective description modifies the generalized second law and provides a new upper bound for the extracted work. We obtain a general integral fluctuation theorem for the active engine that includes additional mutual information gained from the active bath with a unique effective temperature. Here, we introduce an archetypal model for a Maxwell-demon type cyclic Brownian information engine operating in a Gaussian correlated active bath capable of extracting more work than its thermal counterpart. To date, the studies on Brownian information engines consider the system in a thermal bath however, many processes in nature occur in a nonequilibrium setting, such as the suspensions of self-propelled microorganisms or cellular environments called an active bath. Brownian information engines can extract work from thermal fluctuations by utilizing information. ![]()
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